Our analysts compared Looker Studio vs Dataiku based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.
Analyst Rating
User Sentiment
among all Big Data Analytics Tools
Looker Studio has a 'great' User Satisfaction Rating of 86% when considering 1074 user reviews from 3 recognized software review sites.
Dataiku has a 'excellent' User Satisfaction Rating of 91% when considering 7 user reviews from 1 recognized software review sites.
SelectHub research analysts have evaluated Looker Studio and concluded it earns best-in-class honors for Reporting.
SelectHub research analysts have evaluated Dataiku and concluded it earns best-in-class honors for Augmented Analytics. Dataiku stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.
User reviews for Google Looker Studio indicate both strengths and weaknesses. Many users praise its intuitive interface, which simplifies data analysis. The platform's powerful visualization tools and real-time insights are widely appreciated, enabling users to present and act on data effectively. Collaboration features also receive positive feedback, facilitating teamwork and informed decision-making. However, several users highlight challenges. A notable drawback is the steep learning curve, especially for those without SQL or data analysis skills. Some users find data integration complex and resource-intensive, potentially impacting performance. Cost considerations also arise, with users noting that Looker Studio's pricing may not align with all budgets. In comparison to similar products, Looker Studio stands out for its user-friendly interface and strong visualization capabilities. However, some users mention limitations in offline functionality, which competitors may handle better. Overall, Google Looker Studio appears to be a valuable tool for data analysis and collaboration, but it may require a learning curve and careful consideration of budget constraints.
User reviews for Dataiku reveal a mixed sentiment, with notable strengths and weaknesses. Users appreciate Dataiku's comprehensive feature set, user-friendly interface, and its effectiveness in facilitating collaboration among diverse teams. Scalability is another advantage, making it suitable for various organizational sizes. AutoML capabilities and real-time insights are well-received for their accessibility and timeliness. However, several users express concerns about a steep learning curve, especially for newcomers to data science. The platform's resource-intensive nature can be challenging, and the cost of licensing may be a barrier for smaller organizations. Some users find limitations in the free community edition and face integration challenges with legacy systems or non-standard data sources. Data quality dependency and customization complexity are other reported cons. Dataiku is often compared to similar products in a competitive market, and users stress the importance of evaluating it against specific needs and budgets. Security-conscious organizations may need additional measures when handling sensitive data. Despite its limitations, Dataiku maintains a strong user base due to its robust feature set and collaborative capabilities, enabling data-driven decision-making in various industries.
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